Qwen2-7B

Training compute

2.9×10²³ FLOP

Parameters

7B

Published

Jun 7, 2024

Qwen2-7B is an AI model developed by Alibaba (China), first published in June 2024. It works in the language domain, on tasks such as chat, language modeling/generation and question answering.

Training it took an estimated 2.9×10²³ FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters. It was trained on roughly 7T datapoints.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Chat, Language modeling/generation, Question answering
Training compute: 2.9×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Dataset size: 7T
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident